Witt Natalie, Andreotti Sandro, Busch Anne, Neubert Kerstin, Reinert Knut, Tomaso Herbert, Meierhofer David
Mass Spectrometry Facility, Max Planck Institute for Molecular Genetics, Berlin, Germany.
Bioanalytics, Institute of Biotechnology, Technische Universität Berlin, Berlin, Germany.
Front Microbiol. 2020 May 8;11:636. doi: 10.3389/fmicb.2020.00636. eCollection 2020.
Zoonotic pathogens that can be transmitted via food to humans have a high potential for large-scale emergencies, comprising severe effects on public health, critical infrastructures, and the economy. In this context, the development of laboratory methods to rapidly detect zoonotic bacteria in the food supply chain, including high-resolution mass spectrometry proteotyping are needed. In this work, an optimized sample preparation method for liquid chromatography-tandem mass spectrometry (LC-MS/MS)-based proteome profiling was established for isolates, and a cluster analysis, as well as a phylogenetic tree, was generated to shed light on evolutionary relationships. Furthermore, this method was applied to tissues of infected hare carcasses from Germany. Even though the non-informative data outnumbered by a manifold the information of the zoonotic pathogen in the resulting proteome profiles, the standardized evaluation of MS data within an established automated analysis pipeline identified and, thus, could be, in principle, an applicable method to monitor food supply chains.
可通过食物传播给人类的人畜共患病原体极有可能引发大规模紧急情况,对公众健康、关键基础设施和经济造成严重影响。在此背景下,需要开发实验室方法来快速检测食品供应链中的人畜共患病菌,包括高分辨率质谱蛋白质分型。在这项工作中,针对分离株建立了一种基于液相色谱 - 串联质谱(LC-MS/MS)的蛋白质组分析优化样品制备方法,并生成了聚类分析和系统发育树以阐明进化关系。此外,该方法应用于来自德国的受感染野兔尸体组织。尽管在所得蛋白质组图谱中,无信息数据比人畜共患病原体的信息多得多,但在既定的自动化分析流程中对质谱数据进行标准化评估识别出了……,因此原则上可能是一种监测食品供应链的适用方法。